Top Tech Jobs & Startup Jobs in Vancouver

Design, build, and operate high-throughput data movement and replication services for Microsoft Fabric. Lead architecture, write and review maintainable code, debug and monitor systems, drive testing and automation, identify dependencies, and collaborate with stakeholders to ensure reliability, performance, security, and customer-focused metrics.

Design and architect scalable browser-based developer experiences for a SaaS data platform. Lead front-end architecture, write and review code, ensure test coverage, security, reliability, telemetry, and automated deployments. Collaborate with UX, PM, and backend teams, own architectural decisions, incident response, and drive engineering excellence across the product lifecycle.

Design, build, and operate high-scale backend services for the Teams AI Platform. Work with Azure technologies and distributed databases, collaborate with partner teams and AI groups, define scalable architectures and reusable libraries, and improve service availability, reliability, performance, and automation.

Design, build, and operate high-scale data movement and replication services for Microsoft Fabric. Lead architecture, code quality, debugging, testing, and cross-team dependency planning. Mentor peers, drive reliability, performance, and observability, and ensure security and compliance for distributed systems.

Design and build scalable, highly available services for OneLake and ISV integrations. Own end-to-end development, observability, testing, and production readiness. Collaborate with product and partner teams, drive design reviews and code quality, mentor engineers, and leverage AI tools to enhance partner integration with Microsoft Fabric.

Lead design and implementation of Copilot Studio Knowledge features, improve quality, performance, and scalability, define architecture, mentor engineers, leverage AI tools, engage with customers to diagnose issues, and deliver enterprise-grade web services on cloud components.

Lead and develop a team of Solution Engineers to drive customer Cloud and AI adoption. Coach staff, build stakeholder and partner relationships, manage pipeline and forecasting, support technical pre-sales engagements, and align resources to deliver business outcomes while promoting continuous learning and industry best practices.